Created
February 16, 2022 01:43
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import numpy | |
import os | |
def calculate_distance(coords1, coords2): | |
x_distance = coords1[0] - coords2[0] | |
y_distance = coords1[1] - coords2[1] | |
z_distance = coords1[2] - coords2[2] | |
distance = numpy.sqrt(x_distance**2 + y_distance**2 + z_distance**2) | |
return distance | |
def bond_check(bond_length, min_length=0, max_length=1.5): | |
""" | |
Checks a bond distance to see if it meets the criteria for a bond based on a minimum and maximum length. | |
The default minimum is 0 angstroms. The default maximum is 1.5 angtroms. | |
""" | |
if bond_length > min_length and bond_length < max_length: | |
return True | |
else: | |
return False | |
def open_xyz(filename): | |
""" | |
This function parses an xyz file and seperates the symbols and the coordinates. | |
""" | |
xyz_file = numpy.genfromtxt(fname=filename, skip_header=2, dtype='unicode') | |
symbols = xyz_file[:,0] | |
coords = xyz_file[:,1:] | |
coords = coords.astype(float) | |
return symbols, coords | |
file_location = os.path.join('data', 'water.xyz') | |
symbols, coordinates = open_xyz(file_location) | |
num_atoms = len(symbols) | |
for num1 in range(0, num_atoms): | |
for num2 in range(0, num_atoms): | |
if num1<num2: | |
distance = calculate_distance(coordinates[num1], coordinates[num2]) | |
if bond_check(distance) is True: | |
print(F'{symbols[num1]} to {symbols[num2]} : {distance:.3f}') |
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